SOM004 – Shipping Operations, Optimizing Performance & Analytics
Master of Science in Shipping Operations and Management
Core Course
SOM004 – Shipping Operations, Optimizing Performance & Analytics
Course Unit Code: SOM004
Type Of Unit: Core
Level of Course Unit: 2nd cycle
Year of Study: -
Semester: -
Number of ECTS Credits: 10
Class Contact Hours: -
Mode of Delivery
Distance Learning
Prerequisites
None
Course Objectives
The objective of this course is to provide a good understanding of the ship management and operations, in every relevant aspect operational, technical, manning, bunkering, supply, financing, legal, compliance, Informatics and health safety & environment and Informatics. Finally, how all the above areas use data analytics to accomplice their goals.
Learning Outcomes
- Understand the shipping management, structure and operations. Be familiar with Maritime Terms and Abbreviation
- Describe the departments of shipping companies, evaluate daily costs and understand the different markets (dry cargoes, tanker etc.)
- Describe the processes and thinking of Shipping Industry.
- Recognize and analyse inputs, outputs and automated data from/to ship and shipping management company. Understand the needed data analytics in Shipping Management.
- Luxuriate in-depth and holistic understanding of charter markets, chartering practice and charter party analysis in the dry cargo and tanker shipping markets.
- Apply predictive data analytics methods to vessel data to predict optimal maintenance times to achieve longer equipment life cycles, lower maintenance and replacement costs.
- Analyse real-time data streams looking for patterns and early hints of problems, identify patterns, and unearth valuable insights to improve decision-making and minimize risks.
- Understand the players and processes involved in ship operations and management practice.
- Understand the conditions and respective obligations, responsibilities and accountabilities in charter party contracts know who regulates shipping and how maritime regulations affect maritime competitiveness and economics.
Course Content
Course Features
Planned learning activities and teaching methods
Audiovisual lectures
Exercises
Assignments
Extensive readings of the international literature
Live sessions
Assessment methods and criteria
10% Assignments
20% Project
70% Final Examination
Language of Instruction
English
Readings
Recommended or required reading
1. Advances in Shipping Data Analysis and Modeling: Tracking and Mapping Maritime
2. Flows in the Age of Big Data, César Ducruet, 2019 by Routledge, ISBN 9780367886288
3. Management of Shipping Companies, Ioannis Theotokas, 2018 by Routledge, ISBN: 978-1-315-64129-4
4. Branch’s Elements of Shipping Ninth edition, Alan E. Branch and Michael Robarts, 2014 by Routledge, ISBN: 978-1-315-76715-4
5. Shipping Operations Management, I.D. Visvikis, 2017 by Springer, ISBN: 978-3-319-62365-8
6. Shipping and Logistics Management, Y.H.V. Lun · K.-H. Lai · T.C.E. Cheng, 2010 by Springer, ISBN 978-1-84882-997-8
7. from on board equipment using “Internet of Vessels (IoV) platform”. IEEE / South Eastern European Design Automation, Computer Engineering, Computer Networks
8. Structured Data and applying business processes in remote Vessel’s environments using the InfoNet Platform”, IEEE / South Eastern European Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), Kastoria, Greece, 22-24 September, DOI: 10.23919/SEEDA- CECNSM.2018.8544918.
9. GLR Change Detector for Increasing Reliability of Vessel Performance System”. IEEE 3rd International Conference on System Reliability and Safety ICSRS 2018, Barcelona, Spain, 24-26 November, DOI: 10.1109/ICSRS.2018.8688875
10. Zoran Lajic, Alexandros Senteris, Ioannis Filippopoulos, Mark Pearson (2019) “Transformation of Vessel Performance System into Fault-tolerant System – Example of
11. Ioannis Filippopoulos, Zoran Lajic, Alexandros Senteris, Mark Pearson, Georgios Mitsopoulos (2019), “Multi-Sensor Data Fusion for the Vessel Trim Analyzer and Optimization Platform”, IEEE / 4th ICSRS, Rome, Italy.
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